1 citations · 1 across the 3 of their papers we have counts for
3 papers
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
Ali Mammadov, Loïc Le Folgoc, Guillaume Hocquet +1
Digital pathology has revolutionized the field by enabling the digitization of tissue samples into whole slide images (WSIs). However, the high resolution and large size of WSIs pr…
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov, Loic Le Folgoc, Julien Adam +4
Multiple Instance Learning (MIL) has emerged as the best solution for Whole Slide Image (WSI) classification. It consists of dividing each slide into patches, which are treated as…
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation
Gauthier Roy, Jules Dedieu, Capucine Bertrand +5
For the MIDOG mitosis detection challenge, we created a cascade algorithm consisting of a Mask-RCNN detector, followed by a classification ensemble consisting of ResNet50 and Dense…